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Abstract #2563

Common-Information enhanced SPIRiT for high resolution VDS DWI reconstruction

Xiaodong Ma 1 , Feng Huang 2 , Xinwei Shi 1 , Wenchuan Wu 1 , Binbin Sui 3 , and Hua Guo 1

1 Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, Beijing, China, 2 Philips Research China, Beijing, China, 3 Department of Neuroradiology, Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing, China

Multi-shot DWI requires long scan time especially in diffusion tensor imaging (DTI). Parallel imaging reconstruction (CG-SENSE) suffers from low SNR when relatively large reduction factor is used. Existence of isotropic diffusion provides common information among different directions, which is utilized in this study through an interleaved acquisition scheme to enhance image reconstruction. Illustrated as an example, Common inhanced SPIRiT (CI-SPIRiT) reconstruction method in VDS DTI is proposed. Preliminary results show that it improves data sampling efficiency and obtains images of higher SNR.

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